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Dynamic Distribution Network Expansion Planning Under Energy Storage Integration Using PSO with Controlled Particle Movement

  • Santosh KumariEmail author
  • Prerna Jain
  • Dipti Saxena
  • Rohit Bhakar
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 949)

Abstract

Distribution network expansion planning (DNEP) is a multiobjective problem fulfilling demand growth, ensuring reliable supply and minimizing total expansion cost. It is a sequential methodology to plan for the reinforcement of existing or installation of new feeders and substations. This paper handles dynamic DNEP incorporating energy storage systems (ESSs), used to shave the peak demand and valley filling. Monte Carlo simulation method is used to introduce uncertainty in load demand of the system A.C. power flow, annual and daily load duration curve are used. Reliability index is modeled for composite system of lines and ESSs. Planning is formulated as constrained, mixed integer nonlinear programming problem (MINLP) and solved using inertia PSO with controlled particle movement to avoid randomness and premature convergence. An 11 kV, 30-bus radial distribution network is considered as a case study. Simulation results validate the consideration of ESSs in DNEP by a significant improvement in the voltage profile, losses, total expansion cost and reliability of the distribution system. The proposed PSO proves efficient with improved convergence and reduced planning cost.

Keywords

Distribution network expansion planning Energy storage systems Energy not supplied PSO 

Notes

Acknowledgements

The authors acknowledge the financial support provided by DST Rajasthan Grant No. 7(3) DST/Rand D/2016/3286 titled “Distribution Network Planning Mechanisms for state utilized under large integration of EV’s and DERs in Smart Grid Framework.”

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Santosh Kumari
    • 1
    Email author
  • Prerna Jain
    • 1
  • Dipti Saxena
    • 1
  • Rohit Bhakar
    • 1
  1. 1.Department of Electrical EngineeringMalaviya National Institute of Technology JaipurJaipurIndia

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